Zapier VP of Product on Orchestrating 800+ AI Agents to Manage Everything | Chris Geoghegan | E286 - The Product Podcast Recap

Podcast: The Product Podcast

Published: 2026-03-04

Duration: 33 min

Summary

In this episode, Chris Geoghegan, VP of Product at Zapier, discusses how the company is leveraging over 800 AI agents to enhance productivity and streamline workflows. He emphasizes the evolution of Zapier's product from simple integration to complex agentic workflows as they adapt to the AI era.

What Happened

Carlos, the host, introduces Chris Geoghegan, who has been with Zapier since its early days and reflects on his journey from being the first product manager to now overseeing product strategy as VP. He explains how Zapier has transformed from a basic tool for connecting applications to a sophisticated workflow automation platform that empowers users to build complex solutions without coding.

Chris highlights the pivotal moments in Zapier's history, particularly the launch of GPT-3, which prompted them to reassess their business model and embrace AI technology. He discusses how the company called a 'Code Red' to prepare for the AI landscape, realizing that AI could fundamentally change how software is built, thus necessitating an evolution in their product offerings and strategies. The conversation also delves into the differences between traditional workflows and 'agentic workflows,' where AI agents can adapt their actions based on real-time information and outcomes, providing a more dynamic and responsive user experience.

Key Insights

Key Questions Answered

How has Zapier evolved its product offerings over the years?

Chris explains that Zapier's initial product was merely a tool for connecting triggers to actions. As they observed customers creatively using the platform to build more complex workflows, they recognized the need to evolve into a full-fledged workflow company. This shift in focus allowed Zapier to cater to users looking for comprehensive software solutions, ultimately leading to the introduction of features like Zapier tables and interfaces.

What prompted Zapier to embrace AI technology?

The release of GPT-3 was a significant turning point for Zapier. Chris mentions that the company realized the potential of AI to transform software development and called a 'Code Red' to address this shift. They understood that AI not only complements their existing automation capabilities but also allows users to build software without coding, aligning with Zapier's mission.

What is the difference between a traditional workflow and an agentic workflow?

Chris clarifies that traditional workflows follow a predetermined sequence of steps, while agentic workflows involve AI agents that can adapt their actions based on real-time data and outcomes. This allows for a more flexible approach where agents can reason through problems and change their course of action, enhancing productivity and responsiveness.

How does Zapier ensure effective orchestration of its AI agents?

The orchestration of over 800 AI agents at Zapier involves managing their interactions and ensuring they work cohesively to perform tasks. Chris emphasizes the importance of defining clear policies, understanding data flow, and monitoring compliance to achieve effective orchestration. This structure allows the agents to trigger actions based on real-world events and report back on the tasks completed.

What strategies can product managers adopt in the era of AI?

Chris advocates for a shift in mindset among product managers from rigid UI design to embracing probabilistic AI outcomes. This involves understanding how AI can inform product features and user experiences, as well as being open to adapting strategies based on real-time data and user feedback. The ability to iterate quickly in response to AI advancements is crucial for staying competitive.